Search results for "SVMs"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
31	Jianwu Li, Xiaocheng Deng	Kernel Matching Reduction Algorithms for Classification.	RSKT	2008	DBLP DOI BibTeX RDF	Kernel matching reduction algorithms, Kernel matching pursuit, Support vector machines, Radial basis function neural networks
31	André L. D. Rossi, Luis Debiaso, André Carlos Ponce de Leon Ferreira de Carvalho	Bio-inspired Optimization Techniques for SVM Parameter Tuning.	SBRN	2008	DBLP DOI BibTeX RDF
31	Kun Zhao, Ying-Jie Tian 0001, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio	Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.	ICDM Workshops	2007	DBLP DOI BibTeX RDF	Bounded Support Vector Machines, robust, semi- supervised learning, unsupervised learning, Semi- definite Programming
31	Oliver Sharma, Mark A. Girolami, Joseph S. Sventek	Detecting worm variants using machine learning.	CoNEXT	2007	DBLP DOI BibTeX RDF
31	Genting Yan, Guangfu Ma, Liangkuan Zhu	Support Vector Machines Ensemble Based on Fuzzy Integral for Classification.	ISNN (1)	2006	DBLP DOI BibTeX RDF
31	Jun Luo, Bao-Liang Lu	Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering.	ISNN (2)	2006	DBLP DOI BibTeX RDF
31	Fan-Yong Liu, Min Fan	A Hybrid Support Vector Machines and Discrete Wavelet Transform Model in Futures Price Forecasting.	ISNN (2)	2006	DBLP DOI BibTeX RDF
31	Hyung-Jin Son, Theodore B. Trafalis	Detection of Tornados Using an Incremental Revised Support Vector Machine with Filters.	International Conference on Computational Science (3)	2006	DBLP DOI BibTeX RDF
31	Khalid Benabdeslem	Descendant hierarchical support vector machine for multi-class problems.	IJCNN	2006	DBLP DOI BibTeX RDF
31	Stefan Lessmann, Sven F. Crone, Robert Stahlbock	An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning.	IJCNN	2006	DBLP DOI BibTeX RDF
31	Yang Liu 0008, Aijun An, Xiangji Huang 0001	Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles.	PAKDD	2006	DBLP DOI BibTeX RDF
31	Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor	Primal-Dual Monotone Kernel Regression.	Neural Process. Lett.	2005	DBLP DOI BibTeX RDF	monotone regression, primal-dual kernel regression, support vector machines, constraints, convex optimization
31	Chi-Hoon Lee, Russell Greiner, Mark Schmidt 0001	Support Vector Random Fields for Spatial Classification.	PKDD	2005	DBLP DOI BibTeX RDF
31	Juan Ignacio Godino-Llorente, Pedro Gómez Vilda, Nicolás Sáenz-Lechón, Manuel Blanco-Velasco, Fernando Cruz-Roldán, Miguel Angel Ferrer-Ballester	Support Vector Machines Applied to the Detection of Voice Disorders.	NOLISP	2005	DBLP DOI BibTeX RDF
31	Junyan Yang, Youyun Zhang	Application Research of Support Vector Machines in Condition Trend Prediction of Mechanical Equipment.	ISNN (3)	2005	DBLP DOI BibTeX RDF
31	Huaqing Li 0002, Feihu Qi, Shaoyu Wang	A Comparison of Model Selection Methods for Multi-class Support Vector Machines.	ICCSA (4)	2005	DBLP DOI BibTeX RDF
31	Xin Xu, Xuening Wang	An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines.	ADMA	2005	DBLP DOI BibTeX RDF
31	Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan	A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.	ICMLC	2005	DBLP DOI BibTeX RDF
31	Bo Jin, Yan-Qing Zhang 0001, Xiaohua Tony Hu	Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classification.	GrC	2005	DBLP DOI BibTeX RDF
31	Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle	Benchmarking Least Squares Support Vector Machine Classifiers.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	least squares support vector machines, sparse approximation, multiclass support vector machines
31	Huaqing Li 0002, Shaoyu Wang, Feihu Qi	Automatic Face Recognition by Support Vector Machines.	IWCIA	2004	DBLP DOI BibTeX RDF
31	Peng Zhang 0016, Jing Peng	SVM vs Regularized Least Squares Classification.	ICPR (1)	2004	DBLP DOI BibTeX RDF
31	Uri Kartoun, Helman Stern, Yael Edan	Bag Classification Using Support Vector Machines.	WSC	2004	DBLP DOI BibTeX RDF
31	Yangguang Liu, Qi Chen, Yongchuan Tang, Qinming He	An Incremental Updating Method for Support Vector Machines.	APWeb	2004	DBLP DOI BibTeX RDF
31	Soumen Chakrabarti, Shourya Roy, Mahesh V. Soundalgekar	Fast and accurate text classification via multiple linear discriminant projections pp.	VLDB J.	2003	DBLP DOI BibTeX RDF	Text classification, Discriminative learning, Linear discriminants
31	Meilin Zhu, Yue Wang, Shifu Chen, Xiangdong Liu	Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition.	RSFDGrC	2003	DBLP DOI BibTeX RDF	multi-class pattern recognition, sphere-structured, support vector machines, quadratic programming, kernel function
31	Gerhard Paass, Edda Leopold, Martha A. Larson, Jörg Kindermann, Stefan Eickeler	SVM Classification Using Sequences of Phonemes and Syllables.	PKDD	2002	DBLP DOI BibTeX RDF
31	Ken Sadohara	Learning of Boolean Functions Using Support Vector Machines.	ALT	2001	DBLP DOI BibTeX RDF
31	Dimitrios S. Frossyniotis, Andreas Stafylopatis	A Multi-SVM Classification System.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
31	Paola Baiardi, Valter Piazza, Maria C. Mazzoleni	Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique.	AIME	2001	DBLP DOI BibTeX RDF
31	Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller	Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines.	ICANN	2001	DBLP DOI BibTeX RDF
31	Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli	A New Machine Learning Approach to Fingerprint Classification.	AI*IA	2001	DBLP DOI BibTeX RDF
31	Baback Moghaddam, Ming-Hsuan Yang 0001	Gender Classification with Support Vector Machines.	FG	2000	DBLP DOI BibTeX RDF	Radial Basis, Neural Networks, Support Vector Machine, Function, Gender Classification
31	Guodong Guo, Stan Z. Li, Kap Luk Chan	Face Recognition by Support Vector Machines.	FG	2000	DBLP DOI BibTeX RDF	optimal separating hyperplane, support vector machines, Face recognition, principal component analysis, binary tree, eigenface
31	Shinsuke Sugaya, Einoshin Suzuki	Normal Form Transformation for Object Recognition Based on Support Vector Machines.	Discovery Science	1999	DBLP DOI BibTeX RDF
31	Massimiliano Pontil, Alessandro Verri	Support Vector Machines for 3D Object Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	optimal separating hyperplane, appearance-based object recognition, pattern recognition, Support vector machines
29	Hui Zhou, Qi Xu, Yongji Wang 0001, Jian Huang 0001, Jun Wu	An Improved Support Vector Machine Classifier for EEG-Based Motor Imagery Classification.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Continuous wavelet transform (CWT), Leave-one-out (LOO), Mutual information (MI), SVMs, EEG
29	Guangrui Wen, Jianan Yin, Xining Zhang, Ying Jin 0009	Application Research of Support Vector Machines in Dynamical System State Forecasting.	ICIC (1)	2008	DBLP DOI BibTeX RDF	State Forecasting, Support vector machines (SVMs), Dynamical System
29	Le Thi Hoai An, Van Vinh Nguyen, Samir Ouchani	Gene Selection for Cancer Classification Using DCA.	ADMA	2008	DBLP DOI BibTeX RDF	SVMs, Feature selection, Gene selection, DCA, nonconvex optimization, Cancer classification, DC programming
29	Nahla H. Barakat, Andrew P. Bradley	Rule Extraction from Support Vector Machines: A Sequential Covering Approach.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	pattern recognition applications, machine learning, SVMs, Artificial Intelligence, information extraction, representations
29	R. Manimegalai, E. Siva Soumya, Vaishnavi Muralidharan, Balaraman Ravindran, V. Kamakoti 0001, D. Bhatia	Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines.	VLSI Design	2005	DBLP DOI BibTeX RDF	Three-Dimensional FPGA, Reinforcement Learning (RL), Two-opt algorithm, Support Vector Machines (SVMs), Placement and Routing
23	Sergio Herrero-Lopez, John R. Williams, Abel Sanchez	Parallel multiclass classification using SVMs on GPUs.	GPGPU	2010	DBLP DOI BibTeX RDF	support vector machine, parallel programming, GPU
23	Zhijuan Jia, Mingsheng Hu, Haigang Song, Liu Hong	Web Text Categorization for Enterprise Decision Support Based on SVMs - An Application of GBODSS.	ISNN (2)	2009	DBLP DOI BibTeX RDF	GBODSS, Support Vector Machines, Text Categorization
23	Thoralf Klein, Ulf Brefeld, Tobias Scheffer	Exact and Approximate Inference for Annotating Graphs with Structural SVMs.	ECML/PKDD (1)	2008	DBLP DOI BibTeX RDF
23	Shwu-Huey Yen, Hsiao-Wei Chang, Chia-Jen Wang, Patrick S. P. Wang, Mei-Chueh Chang	A scene-based video watermarking technique using SVMs.	ICPR	2008	DBLP DOI BibTeX RDF
23	Shubin Wang, Ping Ling, Xiangyang You, Ming Xu, Xiangsheng Rong	Classification Algorithm Based on Weighted SVMs and Locally Tuning kNN.	BMEI (1)	2008	DBLP DOI BibTeX RDF
23	Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz	Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios.	ICANN (1)	2008	DBLP DOI BibTeX RDF
23	Yisong Yue, Thorsten Joachims	Predicting diverse subsets using structural SVMs.	ICML	2008	DBLP DOI BibTeX RDF
23	Sergio Lafuente-Arroyo, A. Sánchez-Fernández, Saturnino Maldonado-Bascón, Pedro Gil-Jiménez, Francisco Javier Acevedo-Rodríguez	Road Sign Recognition Using Spatial Dimension Reduction Methods Based on PCA and SVMs.	IWANN	2007	DBLP DOI BibTeX RDF
23	Ping Ling, Nan Lu, Jianyu Wang, Chunguang Zhou	Combining Weighted SVMs and Spectrum-Based k NN for Multi-classification.	ISNN (3)	2007	DBLP DOI BibTeX RDF
23	Anna Wang 0001, Junfang Liu, Hao Wang, Ran Tao	A Novel Fault Diagnosis of Analog Circuit Algorithm Based on Incomplete Wavelet Packet Transform and Improved Balanced Binary-Tree SVMs.	LSMS (1)	2007	DBLP DOI BibTeX RDF
23	Karina Zapien Arreola, Janis Fehr, Hans Burkhardt	Fast Support Vector Machine Classification using linear SVMs.	ICPR (3)	2006	DBLP DOI BibTeX RDF
23	Weihong Li, Weiguo Gong, Liping Yang 0001, Weimin Chen, Xiaohua Gu	Facial Feature Selection Based on SVMs by Regularized Risk Minimization.	ICPR (3)	2006	DBLP DOI BibTeX RDF
23	Xuening Wang, Wei Chen 0009, Daxue Liu, Tao Wu 0001, Hangen He	The Optimality Analysis of Hybrid Reinforcement Learning Combined with SVMs.	ISDA (1)	2006	DBLP DOI BibTeX RDF
23	Jianmin Ma, Minh Ngoc Nguyen 0002, Gary B. Fogel, Jagath C. Rajapakse	Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs.	CIBCB	2006	DBLP DOI BibTeX RDF
23	Roland Nilsson, José M. Peña 0001, Johan Björkegren, Jesper Tegnér	Evaluating Feature Selection for SVMs in High Dimensions.	ECML	2006	DBLP DOI BibTeX RDF
23	Nazife Dimililer, Ekrem Varoglu	Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features.	KDLL	2006	DBLP DOI BibTeX RDF
23	Navneet Panda, Edward Y. Chang, Gang Wu 0005	Concept boundary detection for speeding up SVMs.	ICML	2006	DBLP DOI BibTeX RDF
23	Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer	Learning Interpretable SVMs for Biological Sequence Classification.	RECOMB	2005	DBLP DOI BibTeX RDF
23	Bing Han 0003, Xinbo Gao 0001, Hongbing Ji	Automatic News Audio Classification Based on Selective Ensemble SVMs.	ISNN (2)	2005	DBLP DOI BibTeX RDF
23	Kaian Wang, Hai Zhao 0001, Bao-Liang Lu	Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.	ISNN (1)	2005	DBLP DOI BibTeX RDF
23	Jung-Taek Seo, Cheolho Lee, Taeshik Shon, Kyuhyung Cho, Jongsub Moon	A New DDoS Detection Model Using Multiple SVMs and TRA.	EUC Workshops	2005	DBLP DOI BibTeX RDF
23	Zonghua Zhang, Hong Shen 0001	Online Training of SVMs for Real-time Intrusion Detection.	AINA (1)	2004	DBLP DOI BibTeX RDF
23	Jianfeng Ren, Yuntao Shen, Songhui Ma, Lei Guo	Applying Multi-class SVMs into Scene Image Classification.	IEA/AIE	2004	DBLP DOI BibTeX RDF
23	Tony Jebara	Multi-task feature and kernel selection for SVMs.	ICML	2004	DBLP DOI BibTeX RDF
23	Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor	Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.	ICONIP	2004	DBLP DOI BibTeX RDF
23	Takeshi Masuyama, Hiroshi Nakagawa	Cascaded Feature Selection in SVMs Text Categorization.	CICLing	2003	DBLP DOI BibTeX RDF
23	Marcelo Barros de Almeida, Antônio de Pádua Braga, João Pedro Braga	SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means.	SBRN	2000	DBLP DOI BibTeX RDF
23	Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben	Pattern classification with mixtures of weighted least-squares support vector machine experts.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Pattern classification, Hybridization, Least squares support vector machines, Mixtures of experts
23	Sangkyun Lee 0002, Stephen J. Wright 0001	Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines.	ECML/PKDD (2)	2009	DBLP DOI BibTeX RDF	semiparametric SVM, primal-dual gradient projection, decomposition, regression
23	Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho	VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.	CIKM	2009	DBLP DOI BibTeX RDF	nomogram, visualization, SVM
23	Chao Ma, Bao-Liang Lu, Masao Utiyama	Incorporating Prior Knowledge into Task Decomposition for Large-Scale Patent Classification.	ISNN (2)	2009	DBLP DOI BibTeX RDF
23	Ola Amayri, Nizar Bouguila	Improved Online Support Vector Machines Spam Filtering Using String Kernels.	CIARP	2009	DBLP DOI BibTeX RDF	Online Active, Support Vector Machines, Spam, String Kernels, Feature Mapping
23	Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov	Spanning SVM Tree for Personalized Transductive Learning.	ICANN (1)	2009	DBLP DOI BibTeX RDF
23	Lei Wang 0001, Ping Xue 0001, Kap Luk Chan	Two Criteria for Model Selection in Multiclass Support Vector Machines.	IEEE Trans. Syst. Man Cybern. Part B	2008	DBLP DOI BibTeX RDF
23	Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim	Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels.	IEEE Trans. Inf. Technol. Biomed.	2008	DBLP DOI BibTeX RDF
23	Kenji Watanabe, Takio Kurita	RANSAC-SVM for large-scale datasets.	ICPR	2008	DBLP DOI BibTeX RDF
23	Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabarisoa, Renaud Keriven	Context-dependent kernel design for object matching and recognition.	CVPR	2008	DBLP DOI BibTeX RDF
23	Stefan Lessmann, Ning Li, Stefan Voß 0001	A Case Study of Core Vector Machines in Corporate Data Mining.	HICSS	2008	DBLP DOI BibTeX RDF
23	Dell Zhang, Wee Sun Lee	Learning with support vector machines for query-by-multiple-examples.	SIGIR	2008	DBLP DOI BibTeX RDF	PU learning, one-class learning, support vector machine
23	Bin Xia, He Sun 0003, Bao-Liang Lu	Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines.	IJCNN	2008	DBLP DOI BibTeX RDF
23	Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu, Masao Utiyama, Hitoshi Isahara	Large-scale patent classification with min-max modular support vector machines.	IJCNN	2008	DBLP DOI BibTeX RDF
23	Yasusi Sinohara, Atsuhiro Takasu	Two-Phased Active Support Kernel Machine Learning.	PAKDD Workshops	2008	DBLP DOI BibTeX RDF
23	Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabarisoa, Renaud Keriven	Robust matching and recognition using context-dependent kernels.	ICML	2008	DBLP DOI BibTeX RDF
23	Adriana da Costa F. Chaves, Marley M. B. R. Vellasco, Ricardo Tanscheit	Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
23	Lu Ren, Artur S. d'Avila Garcez	Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
23	Mika Takata, Yasuo Matsuyama	Protein Folding Classification by Committee SVM Array.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
23	Patricia Scanlon, Susan Bergin	Using support vector machines and acoustic noise signal for degradation analysis of rotating machinery.	Artif. Intell. Rev.	2007	DBLP DOI BibTeX RDF	Degradation analysis, Support vector machines, Feature selection, Acoustic signal processing
23	Shigeo Abe	Sparse least squares support vector training in the reduced empirical feature space.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Empirical feature space, RBF kernels, Support vector machines, Pattern classification, Least squares support vector machines, Cholesky factorization, Multi-class support vector machines
23	Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas	Minimum Class Variance Support Vector Machines.	IEEE Trans. Image Process.	2007	DBLP DOI BibTeX RDF
23	Adriana da Costa F. Chaves, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit	Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification.	Analysis and Design of Intelligent Systems using Soft Computing Techniques	2007	DBLP DOI BibTeX RDF
23	Daniel García, Ana M. González, José R. Dorronsoro	Coefficient Structure of Kernel Perceptrons and Support Vector Reduction.	IWINAC (1)	2007	DBLP DOI BibTeX RDF
23	Wei Wu, Xuan Wang, Deti Xie, Hongbin Liu 0003	Soil Water Content Forecasting by Support Vector Machine in Purple Hilly Region.	CCTA	2007	DBLP DOI BibTeX RDF	soil water content, support vector machines, prediction, time series, forecasting, statistical learning
23	Hua Liang, Bolin Wang	Identification of MIMO Hammerstein Models Using Support Vector Machine.	ISNN (3)	2007	DBLP DOI BibTeX RDF
23	Oliver Brdiczka, Patrick Reignier, James L. Crowley	Detecting Individual Activities from Video in a Smart Home.	KES (1)	2007	DBLP DOI BibTeX RDF
23	Dexian Zhang, Zhixiao Yang, Yanfeng Fan, Ziqiang Wang	Extracting Symbolic Rules from Trained Support Vector Machines Based on the Derivative Heuristic Information.	FSKD (1)	2007	DBLP DOI BibTeX RDF
23	Keisuke Kameyama	Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification.	ICONIP (1)	2007	DBLP DOI BibTeX RDF	Higher-Order Moment Spectra, Support Vector Machine (SVM), Texture classification, Kernel Function
23	Zhonghang Xia, Yulin Dong, Guangming Xing	Support vector machines for collaborative filtering.	ACM Southeast Regional Conference	2006	DBLP DOI BibTeX RDF	machine learning, support vector machines, recommendation systems, collaborative filtering
23	Gang Wu 0005, Edward Y. Chang, Yen-Kuang Chen, Christopher J. Hughes	Incremental approximate matrix factorization for speeding up support vector machines.	KDD	2006	DBLP DOI BibTeX RDF	support vector machines, interior-point method, matrix factorization
23	Lihong Zheng, Xiangjian He	Number Plate Recognition Based on Support Vector Machines.	AVSS	2006	DBLP DOI BibTeX RDF